Conor McGann
Impact in
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- Robotic Path Planning Algorithms
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
Papers in
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- AI-based Problem Solving and Planning 7
- Logic, Reasoning, and Knowledge 4
- Multi-Agent Systems and Negotiation 2
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- Constraint Satisfaction and Optimization 4
- Co-authors
- Frédéric Py (4 shared papers)Kanna Rajan (3 shared papers)R. Henthorn (2 shared papers)Rob McEwen (1 shared paper)Hans Thomas (1 shared paper)Kanna Rajan (1 shared paper)John P. Ryan (1 shared paper)Radu Bogdan Rusu (1 shared paper)
- Journals
- NASA Technical Reports Server (NASA) (2 papers)International Conference on Automated Planning and Scheduling (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Conor McGann
8 papers receiving 312 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 105
- Ocean Engineering 77
- Control and Systems Engineering 110
- Artificial Intelligence 136
- Software 14
Countries citing papers authored by Conor McGann
This map shows the geographic impact of Conor McGann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Conor McGann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor McGann more than expected).
Fields of papers citing papers by Conor McGann
This network shows the impact of papers produced by Conor McGann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Conor McGann. The network helps show where Conor McGann may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor McGann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 120 | |
| 2 | 2008 | 99 | |
| 3 | 2010 | 50 | |
| 4 | Adaptive control for autonomous underwater vehicles | 2008 | 48 |
| 5 | Formalizing Resources for Planning | 2003 | 12 |
| 6 | 2010 | 4 | |
| 7 | EUROPA2: Plan Database Services for Planning and Scheduling Applications | 2004 | 3 |
| 8 | PlanWorks: A Debugging Environment for Constraint Based Planning Systems | 2005 | 2 |
About Conor McGann
Conor McGann is a scholar working on Artificial Intelligence, Computer Networks and Communications, Software, Control and Systems Engineering and Information Systems, having authored 8 papers that have together received 338 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (4 papers), Constraint Satisfaction and Optimization (4 papers), Multi-Agent Systems and Negotiation (2 papers), Robotics and Sensor-Based Localization (1 paper), Software Testing and Debugging Techniques (1 paper), Formal Methods in Verification (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Ocean Engineering (77 citations), Control and Systems Engineering (110 citations), Artificial Intelligence (136 citations) and Software (14 citations). Conor McGann has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Frédéric Py, Kanna Rajan, R. Henthorn, Rob McEwen, Hans Thomas, Kanna Rajan, John P. Ryan, Radu Bogdan Rusu, Wim Meeussen and Kurt Konolige. Their work appears in journals such as NASA Technical Reports Server (NASA), International Conference on Automated Planning and Scheduling and National Conference on Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.